Opendata, web and dolomites

WINNING

Emotional and Social Intelligence Analysis Advanced Solution for Business Performance Improvement

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "WINNING" data sheet

The following table provides information about the project.

Coordinator
WINNINGMINDS.AI TECHNOLOGIES LIMITED 

Organization address
address: 1 DEVONSHIRE STREET DEVONSHIRE HOUSE
city: LONDON
postcode: W1W 5DS
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website https://winningminds.ai/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2018
 Duration (year-month-day) from 2018-11-01   to  2019-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WINNINGMINDS.AI TECHNOLOGIES LIMITED UK (LONDON) coordinator 50˙000.00

Map

 Project objective

Emotional and social intelligence is critical for business productivity but it’s very difficult to assess without managers’ personal bias. Most of inter-personal interactions occur in meetings (35-50% working hours) but nobody can measure their effectiveness without interfering and interrupting, thus lowering their performance. As a result, companies frequently invest in the wrong talents, teams or customers, relying only on “intuition”. There are some tools for speech analysis but they are all focused on a single speaker. A huge amount of information beyond knowledge (emotional, relational, cultural, etc.) is produced during meetings but there is no way to analyse it. WINNINGMINDS is a conversation Artificial Intelligence analysis software which captures and analyses discussions and context in real time, under a SaaS model for three customer processes: - Talent assessment: Who is the fittest talent. - Management & leadership meetings: Team effectiveness. - Client/account management meetings: Client’s emotional loyalty. It identifies work competences and skills, interactions, attitudes, employee wellbeing, level of collective intelligence, how effective a team is working together and its readiness to succeed on a task. It provides Benchmark Reports to compare different performance of groups, topics, meeting formats, etc. Main benefits for users are: - Reduce mis-hiring costs (€257k/head failed). - More customer satisfaction and loyalty (5% = 25-95% profit). - Increase meeting productivity (20%). For our company, we expect: - Consolidate business (our core product). - International expansion (mostly EU and USA). - Develop our IP assets and contribution (increase company value).

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "WINNING" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "WINNING" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

DeltaQon (2019)

IOT and cloud computing for online medical analysis service platform

Read More  

IMPACT (2019)

Improving DNA Analysis for Correct Healthcare

Read More  

Magnesys (2019)

Efficient filtering of metallic impurities in food processing

Read More